6. Kevin Otto, Kristin Wood, “Product Design”, Indian Reprint 2004, Pearson Education, ISBN 9788177588217 7. Yousef Haik, T. M. M. Shahin, “Engineering Design Process”, 2nd Edition Reprint, Cengage Learning, 2010, ISBN 0495668141 8. Clive L.Dym, Patrick Little, “Engineering Design: A Project-based Introduction”, 3rd Edition, John Wiley & Sons, 2009. 18EI3016
EMBEDDED BASED IMAGE PROCESSING TECHNIQUES
L 3
T 0
P 0
C 3
Course Objectives: 1. To understand the image fundamentals of image processing 2. To understand how image are analysed to extract features of interest. 3. To comprehend the concepts of image registration and image fusion Course Outcomes: Upon completion of the course, student will be able to 1. Describe various concepts of digital image processing 2. understand the concepts of image enhancement 3. Illustrate the steps involved in processing digital images 4. Recall thee concepts of Wavelets and image compression 5. Summarize the concept of Image representation and recognition 6. Build embedded based image processing applications. Module 1: Introduction to Image Processing: (6 Hours) Basic definitions-image formation- Image processing operations- real time image processingembedded image processing- serial processing- parallelism- hardware image processing system. Module 2: Image enhancement: (8 Hours) Image enhancement in spatial domain, Spatial filtering, 2D image transforms :DFT and its property, Cosine and sine transform, Hadamard and Haar transform, Image enhancement in frequency domain. Module 3: Morphological Processing: (8 Hours) Morphological image processing, Erosion and Dilation, Opening and Closing , Edge detection and model, Active contour, Texture Module 4: Wavelet: (8 Hours) Wavelet based Segmentation, Localized feature extraction shape, boundary, Moments and Texture descriptors, Registration –basics, Transformation functions , Resampling, Image fusion – pixel, Multiresolution and region based fusion Module 5: Embedded Audio processing (8 Hours) What is sound- audio signals- speech processing-audio sources and sinks- Background on Audio converters- audio ADCs and Audio DACs- connecting to audio converters- I2C, SPI,DACs and CODECs- interconnections- dynamic range and precisions- fixed point and floating point arithmetic. Module 6: Embedded Applications: (7 Hours) 3D image visualization , 3D Data sets, Volumetric display, Stereo Viewing , Ray tracing , Image processing in 3D, Measurements on 3D images, embedded based face detection system, child monitoring system. Reference Books 1. Rafael C. Gonzales, Richard E. Woods, “Digital Image Processing”, Third Edition, Pearson Education, 2010. 2. Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, “Digital Image Processing Using Matlab”, Third Edition Tata McGraw Hill Pvt. Ltd., 2011. 3. Anil Jain K. “Fundamentals of Digital Image Processing”, PHI Learning Pvt. Ltd., 2011. 4. William K. Pratt, “Introduction to Digital Image Processing”, CRC Press, 2013. 5. Chris Solomon, Toby Breckon, “Fundamentals of Digital Image Processing – A practical approach with examples in Matlab”, Wiley-Blackwell, 2010. 6. Jayaraman, “Digital Image Processing”, Tata McGraw Hill Education, 2011. 7. Malay K. Pakhira, “Digital Image Processing and Pattern Recognition”, First Edition, PHI Learning Pvt. Ltd., 2011.
Instrumentation Engineering
